Adapting Freely Available Resources to Build an Opinion Mining Pipeline in Portuguese

Abstract

We present a complete UIMA-based pipeline for sentiment analysis in Portuguese news using freely available resources and a minimal set of manually annotated training data. We obtained good precision on binary classification but concluded that news feed is a challenging environment to detect the extent of opinionated text.

Tasks

Reproductions